cityscape dataset format
How to download cityscapes and set it up for later experiments?
This tutorial help you to download Cityscapes and set it up for later experiments. Please login and download the files gtFine_trainvaltest.zip and leftImg8bit_trainvaltest.zip to the current folder: Loading images and labels from Cityscapes is straight-forward with GluonCV’s dataset utility:
What is a cityscapes dataset?
This large-scale dataset contains a diverse set of stereo video sequences recorded in street scenes from 50 different cities, with high quality pixel-level annotations of 5 000 frames in addition to a larger set of 20 000 weakly annotated frames. Details and download are available at: www.cityscapes-dataset.com
How do I load the cityscape dataset into Fiftyone?
In order to load the Cityscape Dataset into FiftyOne, you must download the source data manually with your source_dir organized in the following manner: Note that the gtFine_trainvaltest, gtCoarse, and gtBbox_cityPersons_trainval are optional directories. If you don’t already have FiftyOne installed on your laptop, it takes just a few minutes!
What is cityscapes?
Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes. It provides semantic, instance-wise, and dense pixel annotations for 30 classes grouped into 8 categories (flat surfaces, humans, vehicles, constructions, objects, nature, sky, and void).
Cityscapes/Semantic_Segmentation
Config description: Cityscapes semantic segmentation dataset.Dataset size: 10.86 GiBSplits: tensorflow.org
Cityscapes/Semantic_Segmentation_Extra
Config description: Cityscapes semantic segmentation dataset withtrain_extra split and coarse labels.Dataset size: 51.92 GiBSplits: tensorflow.org
Cityscapes/Stereo_Disparity
Config description: Cityscapes stereo image and disparity maps dataset.Dataset size: 25.03 GiBSplits: tensorflow.org
Cityscapes/Stereo_Disparity_Extra
Config description: Cityscapes stereo image and disparity maps datasetwith train_extra split.Dataset size: 119.18 GiBSplits: tensorflow.org
Cityscapes Dataset
Cityscapes Dataset
PIDNet-S Semantic Segmentation on Cityscapes Dataset｜2022【MY Computer Vision】
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The Cityscapes Dataset for Semantic Urban Scene Understanding
07 Apr 2016 To address this we introduce Cityscapes |
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The Cityscapes Dataset
more challenging datasets have been created to push forward the tailed list of the annotated classes describes the data formats |
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Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for
16 Apr 2020 2.1 Dataset format. We have manually annotated 5 semantic classes of Cityscapes with 9 parts classes in total. Specifically the two human ... |
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CityScape: A Metro-area Spectrum Observatory
issues standardizing data formats |
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Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for
16 Apr 2020 2.1 Dataset format. We have manually annotated 5 semantic classes of Cityscapes with 9 parts classes in total. Specifically the two human ... |
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SCS Conference Proceedings Format
25 May 2020 form for urban planning and cityscape visualization. Deep- ... Top row: Model trained on Cityscapes dataset deployed as node.js app. |
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Benchmarking Robustness in Object Detection: Autonomous Driving
31 Mar 2020 The three resulting benchmark datasets termed. Pascal-C |
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The Cityscapes Dataset
able at www.cityscapes-dataset.net. This benchmark includes datasets for stereo vision ... Overview of different annotation and prediction formats. |
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L3: Accelerator-Friendly Lossless Image Format for High-Resolution
18 Aug 2022 L3 achieves a 9.29× higher data preparation throughput than PNG the most popular lossless image format |
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Torchdatasets: Ready to Use Extra Datasets for Torch
07 Oct 2021 Description Provides datasets in a format that can be easily ... Downloads and prepares the cityscapes dataset that has been used in the ... |
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Paper - Cityscapes Dataset
more challenging datasets have been created to push forward the Figure 1 Example images (2 MP, color, HDR) with annotations from our dataset The labels |
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Benchmark Suite – Cityscapes Dataset
12 sept 2019 · https://www cityscapes-dataset com/benchmarks/ the buttons in the first row to hide columns or to export the visible data to various formats |
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A Dataset for Lane Instance Segmentation in - CVF Open Access
Example image from our dataset (top left), including annotations for road for ROAD, trained on our data, CityScapes (fine), Mapillary and KITTI Lanes |
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IDD: A Dataset for Exploring Problems of Autonomous Navigation in
is similar for our dataset and Cityscapes [5], the number of object classes and within-class diver- sity is also higher, for example, since vehicles span a larger |
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Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for
16 avr 2020 · of the part-level panoptic labels explained in Section 2 1 2 1 Dataset format We have manually annotated 5 semantic classes of Cityscapes |
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Labeling format for complex datasets - ResearchGate
annotations could simply be infeasible (e g from bounding box to polygons) ( e g average 270 KB/image, CityScapes-fine dataset[4]) Python and also C++ |
